Zobrazeno 1 - 10
of 115 957
pro vyhledávání: '"Yen, P"'
Autor:
Long, Do Xuan, Yen, Duong Ngoc, Luu, Anh Tuan, Kawaguchi, Kenji, Kan, Min-Yen, Chen, Nancy F.
We present Multi-expert Prompting, a novel enhancement of ExpertPrompting (Xu et al., 2023), designed to improve the large language model (LLM) generation. Specifically, it guides an LLM to fulfill an input instruction by simulating multiple experts,
Externí odkaz:
http://arxiv.org/abs/2411.00492
The problem of minimizing the difference of two lower semicontinuous, proper, convex functions (a DC function) on a nonempty closed convex set in a locally convex Hausdorff topological vector space is studied in this paper. The focus is made on the s
Externí odkaz:
http://arxiv.org/abs/2411.19272
Autor:
Guo, Yanjiang, Hu, Yucheng, Zhang, Jianke, Wang, Yen-Jen, Chen, Xiaoyu, Lu, Chaochao, Chen, Jianyu
Diffusion models have demonstrated remarkable capabilities in image generation tasks, including image editing and video creation, representing a good understanding of the physical world. On the other line, diffusion models have also shown promise in
Externí odkaz:
http://arxiv.org/abs/2411.18179
Autor:
Pervez, Md. Firoz, Zhang, Hongrui, Huang, Yen-Lin, Caretta, Lucas, Ramesh, Ramamoorthy, Ulrich, Clemens
Bismuth ferrite (BiFeO3) is one of the rare materials that exhibits multiferroic properties already at room-temperature. Therefore, it offers tremendous potential for future technological applications, such as memory and logic. However, a weak magnet
Externí odkaz:
http://arxiv.org/abs/2411.18819
Autor:
Karnik, Sathwik, Hong, Zhang-Wei, Abhangi, Nishant, Lin, Yen-Chen, Wang, Tsun-Hsuan, Agrawal, Pulkit
Language-conditioned robot models (i.e., robotic foundation models) enable robots to perform a wide range of tasks based on natural language instructions. Despite strong performance on existing benchmarks, evaluating the safety and effectiveness of t
Externí odkaz:
http://arxiv.org/abs/2411.18676
Over 900 million Bitcoin transactions have been recorded, posing considerable challenges for machine learning in terms of computation time and maintaining prediction accuracy. We propose an innovative approach using quantum-inspired algorithms implem
Externí odkaz:
http://arxiv.org/abs/2411.15425
Autor:
Liu, Xiaolong, Zeng, Zhichen, Liu, Xiaoyi, Yuan, Siyang, Song, Weinan, Hang, Mengyue, Liu, Yiqun, Yang, Chaofei, Kim, Donghyun, Chen, Wen-Yen, Yang, Jiyan, Han, Yiping, Jin, Rong, Long, Bo, Tong, Hanghang, Yu, Philip S.
Recent advances in foundation models have established scaling laws that enable the development of larger models to achieve enhanced performance, motivating extensive research into large-scale recommendation models. However, simply increasing the mode
Externí odkaz:
http://arxiv.org/abs/2411.13700
Autor:
Smallwood, Jeremy L., Nealon, Rebecca, Yen, Hsi-Wei, Pinte, Christophe, Longarini, Cristiano, Aly, Hossam, Lin, Min-Kai
Misaligned circumbinary disks will produce dust traffic jams during alignment or anti-alignment to the binary orbital plane. We conduct a hydrodynamical simulation of an initially misaligned circumbinary disk undergoing polar alignment with multiple
Externí odkaz:
http://arxiv.org/abs/2411.12614
The Segment Anything Model 2 (SAM 2) has demonstrated strong performance in object segmentation tasks but faces challenges in visual object tracking, particularly when managing crowded scenes with fast-moving or self-occluding objects. Furthermore, t
Externí odkaz:
http://arxiv.org/abs/2411.11922
Autor:
Shen, Yichen, Hsieh, Ping-Yen, Sridhar, Sashank Kaushik, Feldman, Samantha, Chang, You-Chia, Smith, Thomas A., Dutt, Avik
Squeezed light, with its quantum noise reduction capabilities, has emerged as a powerful resource in quantum information processing and precision metrology. To reach noise reduction levels such that a quantum advantage is achieved, off-chip squeezers
Externí odkaz:
http://arxiv.org/abs/2411.11679